
Type-2 Fuzzy Logic and Systems
Dedicated to Professor Jerry Mendel for his Pioneering Contribution
Springer (Publisher)
Published on 15. February 2018
Book
Hardback
VII, 148 pages
978-3-319-72891-9 (ISBN)
Description
This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.
More details
Series
Edition
1st ed. 2018
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
36 farbige Abbildungen, 27 s/w Abbildungen
VII, 148 p. 63 illus., 36 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 15 mm
Weight
407 gr
ISBN-13
978-3-319-72891-9 (9783319728919)
DOI
10.1007/978-3-319-72892-6
Schweitzer Classification
Other editions
Additional editions

Robert John | Hani Hagras | Oscar Castillo
Type-2 Fuzzy Logic and Systems
Dedicated to Professor Jerry Mendel for his Pioneering Contribution
Book
06/2019
Springer
€53.49
Shipment within 10-15 days

Robert John | Hani Hagras | Oscar Castillo
Type-2 Fuzzy Logic and Systems
Dedicated to Professor Jerry Mendel for his Pioneering Contribution
E-Book
02/2018
Springer
€53.49
Available for download
Content
From T2 FS-based MoGoTW System to DyNaDF for Human and Machine Co-Learning on Go.- Ordered Novel Weighted Averages.- On The Comparison of Model-Based and Model-Free Controllers in Guidance, Navigation and Control of Agricultural Vehicles.- Important and Challenging Issues for Interval Type-2 Fuzzy Control Research.- Type-2 Fuzzy Logic in pattern recognition applications.- Type-2 Fuzzy Logic Control in Computer Games.- A Type-2 Fuzzy Model to Prioritize Suppliers Based on Trust Criteria in Intelligent Agent-Based Systems.